I’m not sure I trust where this is all heading anymore.

Not the models themselves, exactly. They keep getting better, sure. Smoother outputs, fewer obvious mistakes. But at the same time, it’s getting harder to tell what I’m actually interacting with… or where any of it is coming from. That part feels like it’s quietly slipping away.

We used to argue about accuracy. Now it’s more like… provenance? Verification? And even those words feel a bit stretched.

Watching AI and crypto grow up separately was simpler. AI chased performance. Crypto obsessed over trust and coordination. Different problems, different crowds. Now they’re starting to overlap in this uncomfortable way, and I can’t tell if it’s convergence or just shared confusion.

Because the real issue isn’t just intelligence anymore. It’s who runs it, who hosts it, who can check it. And maybe more importantly, who can’t.

Infrastructure used to be boring. Hidden. Something you assumed would hold. But lately it feels fragile. Concentrated in places that don’t quite align with the narratives being told on top of them.

I’ve seen a few projects circling this idea, OpenGradient being one of them. Not in a loud way. More like an attempt to deal with something most people haven’t fully acknowledged yet.

Still, “open” sounds nice until scale shows up. Until incentives get involved. Until verification becomes political.

And I keep wondering if we’re solving the right layer… or just noticing it too late.
#opg $OPG @OpenGradient